Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add crisandrews/ClawCode --skill compactgit clone --depth 1 https://github.com/crisandrews/ClawCodeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/crisandrews/clawcode/compact)<a href="https://agentmods.dev/skills/crisandrews/clawcode/compact"><img src="https://agentmods.dev/badge/skills/crisandrews/clawcode/compact/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/crisandrews/clawcode/compact"><img src="https://agentmods.dev/badge/skills/crisandrews/clawcode/compact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00607 |
| Opus 5.5 | $0.00017 | $0.00243 |
| Sonnet 5.5 | $0.00009 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
compact scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/compact — Manual memory flush
Save the important parts of the current conversation to memory/YYYY-MM-DD.md. This is a manual version of what the PreCompact hook does automatically.
Important — architectural honesty
- On CLI: The native
/compactcompacts Claude Code's context. A skill CANNOT invoke it. If you run/compactin the REPL, the native one runs (and the PreCompact hook fires to save memory automatically). This skill is only useful if you want a MANUAL flush WITHOUT triggering actual compaction. - On messaging channels (WhatsApp, Telegram, etc.): There is NO native compact. Each message is its own turn. This skill just saves the recent exchange to memory — useful as an explicit "save this" checkpoint.
This skill does NOT say "now run /compact" (that would cause a loop if the user pastes it again). It just saves and confirms.
Steps
-
Detect surface.
-
Scan the current session for things worth remembering:
- Decisions made
- Facts the user shared
- Tasks discussed
- Problems solved
-
Append to daily log:
DATE=$(date +%Y-%m-%d) TIME=$(date +%H:%M)## Manual flush (<TIME>) ### Decisions - ... ### Facts learned - ... ### Open items - ... -
Respond briefly per surface:
CLI
✅ Flush complete → memory/<DATE>.md
If you want Claude Code to also compact the context, run the native /compact.
(The PreCompact hook already saves memory automatically when that happens.)
✅ *Saved* → memory/<DATE>.md
Telegram
✅ **Saved** → memory/<DATE>.md
IMPORTANT: Respond in the user's language. If the user writes in Spanish, translate these templates to Spanish on the fly. Do the same for any other language. The templates above are English defaults — adapt them.
- Do NOT say "now run /compact" — that causes a loop. The user decides if they want to run the native command.
Important
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 78 lines · 43 tokens per session scan A f18ed9dd05ee
compact is a skill published in the GitHub repository crisandrews/ClawCode (63 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 607 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
wiki-write
Add or update wiki content — autonomous ingest from URL, file, or text; autonomous update of existing pages. Auto-creates .wiki/ on first use. Use when: 'save to wiki', 'remember this', 'note this', 'store this', 'add to knowledge base', 'save findings', 'save research', 'save idea', 'write to wiki', 'ingest', 'add…
wiki-view
Wiki dashboard — browse pages, view stats, knowledge graph, export. Use on: 'wiki dashboard', 'wiki stats', 'show wiki', 'wiki pages', 'list wiki', 'wiki graph', 'export wiki', 'wiki overview'.
research-collector
A web-research automation pipeline that searches from several angles, collects pages, stores structured findings in persistent memory, and produces a report.
project-memory
Use to create and maintain durable cross-session project memory and the progress ledger, so long autonomous builds resume cleanly after compaction, restarts, or new sessions. Read it when starting work and update it as decisions and tasks land.
knowledge-refiner
Skill "knowledge-refiner" from Kit4Some/Oh-my-ClaudeClaw, covering knowledge refiner — memory optimization & refinement skill, preamble, role, workflow and step 1 — status assessment.
knowledge-sync
Skill "knowledge-sync" from Kit4Some/Oh-my-ClaudeClaw, covering knowledge sync — omc ↔ openclaw-cc memory synchronization, preamble, role, sync directions and workflow.